The Opportunity:We're looking for an AI Engineer, GenAI & Agentic Solutions to join our Data & Analytics Partners team.
Reporting to the Sr. Director of Data Science and AI Enablement the GenAI & Agentic Solutions is responsible for designing, building, and scaling practical GenAI and agentic AI solutions that solve meaningful business problems across Aviso and the broader wealth ecosystem.
The role translates business opportunities into secure, usable, and measurable AI experiences, including conversational AI, retrieval-augmented generation, intelligent knowledge experiences, and tool-integrated agentic workflows.
Working primarily across Databricks and AWS, while supporting Azure-based environments where required, the role takes solutions from discovery and proof-of-value through controlled production delivery.
What your day looks like:- Partner with business and domain teams to translate priority opportunities into clear GenAI and agentic solution designs, user journeys, success measures, and delivery plans
- Design and build conversational AI, retrieval-augmented generation, intelligent knowledge experiences, and agentic workflows that improve service, productivity, and decision-making
- Develop trusted retrieval and grounding patterns using enterprise content, knowledge, and data
- Build secure integrations between AI solutions, business applications, enterprise data, APIs, and tools, including human-in-the-loop review, escalation, and approval patterns where appropriate
- Improve prompts, context strategies, tool selection, workflow logic, and user experiences to increase solution quality, reliability, and usefulness
- Define and apply evaluation, testing, and feedback approaches to measure solution quality, safety, business value, and user outcomes
- Partner with AI Platform & ML Engineering to move solutions through approved production pathways using established deployment, observability, security, and governance standards
- Continuously assess emerging GenAI, agentic AI, and related platform capabilities; translate relevant trends into practical recommendations, proof-of-value opportunities, and reusable solution patterns
RequirementsYour experience and skills:- Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Engineering, or a related technical field with equivalent hands on experience building data, AI, software, platform or cloud engineering solutions
- 7+ years of experience with 3+ years of experience in software, data, machine learning, or AI engineering, including demonstrated experience designing and deploying production-oriented GenAI or AI-enabled solutions
- Strong Python, SQL, and Git-based software development skills
- Experience designing and building GenAI applications, including conversational AI, RAG solutions, or agentic workflows
- Experience connecting AI solutions with enterprise systems, data sources, APIs, tools, and business processes. • Experience applying evaluation and testing approaches for GenAI or agentic solutions, including quality, safety, user feedback, and business-value measures
- Familiarity with secure and responsible AI practices, including privacy, governance, controlled access to enterprise data and tools, and appropriate human oversight
- Curiosity and judgment to assess emerging AI capabilities and recommend practical opportunities for the organization
- Experience developing LLM-powered applications using model APIs, prompt engineering, structured outputs, and agent orchestration frameworks such as LangGraph, LangChain, LlamaIndex, or comparable technologies
- Experience designing and building RAG solutions, including embeddings, chunking, metadata filtering, vector retrieval, retrieval evaluation, and response grounding
- Experience with enterprise vector search and retrieval technologies, such as Databricks AI Search / Vector Search, Amazon Bedrock Knowledge Bases, Amazon OpenSearch vector capabilities, or comparable platforms
- Experience with GenAI evaluation, tracing, observability, and iterative testing using MLflow, LangSmith, or comparable technologies
- Understanding of secure AI solution design, including identity and access control, delegated permissions, secrets management, privacy, guardrails, auditability, controlled tool access, and enterprise data governance
- Fluent communication skills in English are required and bilingual skills in French are an asset
BenefitsWhy Aviso Wealth?At Aviso Wealth, you will find a dynamic and inclusive culture that rewards innovation and celebrates success.
Here are a few things that set us apart:
- Competitive compensation package that rewards and recognizes individual contributions
- Excellent health, dental and insurance benefits to meet the diverse needs of our employees
- Generous vacation time, fitness benefit, parental leave top-up options
- Matching contributions to our retirement program
- Commitment to the continuous improvement of our staff through learning & development and an education assistance program
- Regular social events to foster teamwork
SalaryThis position is posted with an expected salary range of $125,000 - $135,000 CAD annually. Individual compensation packages are based on various factors unique to each candidate and the requirements of the position.
